News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow Hugging Face Daily Papers research 4d ago The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows Abstract Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers such as evolutionary search, bandits, or textual-gradient methods. We ask a fundamentally different question: how much of this search policy can be… 27 Smol AI News news-outlet 4d ago not much happened today **Frontier API vulnerability** revealed exposure of hidden reasoning traces including sensitive data like **62 unique API keys** and **33 passwords**, raising privacy and operational-security concerns. Discussions highlighted the risks of public trace sharing and challenges in… 8 Hugging Face Daily Papers research 4d ago Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning Abstract Audio reasoning is essential for machine understanding of the acoustic world. Reinforcement learning with verifiable rewards can elicit such reasoning, yet existing reward designs are complementary in their limitations: outcome-based rewards supervise only the final… 18 arXiv — Machine Learning research 4d ago Solver-Guided Reasoning for Mixed-Equilibrium Strategies arXiv:2608.06741v1 Announce Type: new Abstract: Reasoning in large language models (LLMs) is often grounded in human text, human demonstrations, and human-generated rationales. For equilibrium reasoning in complex games, however, relying on human data can be suboptimal. In fact,… 22 arXiv — Machine Learning research 4d ago Graph Machine: Exploring Edge Mechanisms as an Inductive Bias arXiv:2608.06834v1 Announce Type: new Abstract: Transformers provide a powerful architecture for global content-based matching, but reasoning problems may benefit from a stronger inductive bias toward iterative traversal of latent relations. We introduce Graph Machine, an… 38 arXiv — NLP / Computation & Language research 4d ago NTDH: Complex Reasoning for Comprehensive Affective Analysis arXiv:2608.06425v1 Announce Type: new Abstract: Comprehensive affective analysis is challenging for two reasons: it spans heterogeneous prediction tasks with continuous, ordinal, and multi-label outputs, and affective meaning is context-dependent, requiring conflicting cues to… 9 arXiv — Machine Learning research 4d ago Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection arXiv:2608.06434v1 Announce Type: cross Abstract: Embodied intelligence demands both long-horizon reasoning and real-time closed-loop responsiveness. Recent dual-system Vision-Language-Action (VLA) architectures combine fast reactive control with slow deliberative reasoning to… 19 arXiv — Machine Learning research 4d ago Cascade: Exploiting SLO-Aware latency budget for fair and high goodput LLM inference serving arXiv:2608.06557v1 Announce Type: cross Abstract: The reasoning and agentic capabilities of large language models have expanded the range of applications they support, from short interactive exchanges to long, compute-heavy requests. LLM serving platforms today define… 34 arXiv — NLP / Computation & Language research 4d ago The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents arXiv:2608.06663v1 Announce Type: new Abstract: Frontier language models solve reasoning problems in a single forward pass that would have been research contributions years ago, yet fail at multi-hour tasks: losing track of earlier decisions, declaring half-finished work done,… 9 arXiv — NLP / Computation & Language research 4d ago Stockmark-Nemotron-3-Nano-Omni-JapanDocReader: Structured Document Parsing via Capability Injection and Forgetting Control arXiv:2608.06758v1 Announce Type: new Abstract: We present Stockmark-Nemotron-3-Nano-Omni-JapanDocReader, a Japanese document understanding model built from Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16. The central goal of this work is structured document parsing via capability… 17 arXiv — NLP / Computation & Language research 4d ago IB-RL: Isolated Bilateral Reinforcement Learning for Strategic Dialogue Agents arXiv:2608.06735v1 Announce Type: cross Abstract: Reinforcement learning (RL) has achieved strong results in improving large language models (LLMs) on tasks with stationary, verifiable rewards, such as mathematical reasoning and code execution. In these settings, the environment… 8 arXiv — NLP / Computation & Language research 4d ago How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality arXiv:2604.06756v2 Announce Type: replace Abstract: Large language models (LLMs) has been widely adopted as a scalable surrogate for human evaluation, yet such judges remain imperfect and susceptible to surface-level biases. One possible reason is that these judges lack… 17 arXiv — NLP / Computation & Language research 4d ago Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent arXiv:2604.07269v2 Announce Type: replace Abstract: Clinical expertise improves not only by acquiring medical knowledge, but by accumulating experience that yields reusable diagnostic patterns. Recent LLMs-based diagnostic agents have shown promising progress in clinical… 34 arXiv — NLP / Computation & Language research 4d ago Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens arXiv:2604.26355v4 Announce Type: replace Abstract: Reasoning in Large Language Models incurs significant inference-time compute, yet the token-level information structure of reasoning traces remains underexplored. We observe that reasoning tokens split into two functional… 9 r/MachineLearning community 4d ago Non-Physical Intelligence Has A Ceiling [D] Reasoning alone cannot predict the chaotic physical world. Without a sensory and motor interface to reality, non-physical AI will not deliver the scientific and technological breakthroughs we expect.   submitted by   /u/dontkry4me [link]   [comments] 6 Hacker News — AI on Front Page community 4d ago Taxi drivers rarely die of Alzheimer's Article URL: https://theconversation.com/taxi-drivers-rarely-die-of-alzheimers-how-complex-mental-maps-and-spatial-reasoning-protect-your-brain-286650 Comments URL: https://news.ycombinator.com/item?id=49232253 Points: 289 # Comments: 205 22 r/LocalLLaMA community 7d ago Anyone running DeepSeek-V4-Flash-0731 on MI325X with vLLM? Mine is behaving completely broken Is anyone here successfully running DeepSeek-V4-Flash-0731 locally with vLLM , especially on AMD MI325X? My setup: GPU: 1x AMD Instinct MI325X Model: deepseek-ai/DeepSeek-V4-Flash-0731 vLLM: 0.26.0 ROCm image --tokenizer-mode deepseek_v4 --reasoning-parser deepseek_v4… 20 Hugging Face Daily Papers research 7d ago EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal Abstract Video object removal must eliminate not only the target object but also its induced effects while maintaining high-fidelity and spatiotemporally coherent restoration. Existing methods mainly learn object-effect correspondences implicitly from predefined effect… 13 Hugging Face Daily Papers research 7d ago OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models Abstract Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying whether it fulfilled the task instruction is central to CUA evaluation, data curation, and reinforcement learning.… 25 arXiv — Machine Learning research 7d ago Disentangling 3D Modeling from Spatial Reasoning arXiv:2608.05242v1 Announce Type: new Abstract: In this work, we explore an alternative paradigm for spatial reasoning by explicitly disentangling 3D perception from reasoning, rather than jointly acquiring implicit 3D perception and reasoning through large-scale training. Our… 15 arXiv — NLP / Computation & Language research 7d ago Reasoning Errors Have a Region and a Direction in the Residual-Stream Trajectory of LLMs arXiv:2608.05660v1 Announce Type: cross Abstract: As language models are increasingly used for tasks that require verifiable reasoning, reliably distinguishing sound reasoning from flawed reasoning has become an important practical problem. Recent trajectory-based methods seek… 8 arXiv — Machine Learning research 7d ago Neuro-Symbolic Closed-Loop Control of Laser Powder Bed Fusion with an In-Loop Ontology arXiv:2608.05773v1 Announce Type: new Abstract: A geometry-conditioned, neuro-symbolic closed-loop architecture is proposed for laser powder bed fusion, in which a standards-aligned ontology operates inside the control loop and couples symbolic reasoning with statistical… 26 arXiv — NLP / Computation & Language research 7d ago Conditional Cognitive Biases in LLMs: How Biased User Turns Modulate In-Context Reasoning arXiv:2608.05166v1 Announce Type: new Abstract: We present an evaluation of cognitive bias expression in state-of-the-art instruction-tuned LLMs under realistic multi-turn interaction settings. Our work introduces a novel three-condition experimental framework that disentangles… 38 arXiv — Machine Learning research 7d ago From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction arXiv:2608.05203v1 Announce Type: cross Abstract: Machine learning models achieve strong predictive accuracy for 90-day outcome prediction in acute ischaemic stroke, yet clinical adoption is limited by the misalignment of model explanations with clinicians' reasoning. Motivated… 23 arXiv — NLP / Computation & Language research 7d ago Simulator-Grounded Large Language Models for Industrial Causal Reasoning: Tool-Use, Structured Injection, and Plant-Portable Retrieval for Wastewater Treatment Decision Support arXiv:2608.05151v1 Announce Type: new Abstract: Wastewater operators need answers grounded in how their plant's variables interact and how fast effects propagate, not in generic pretraining text, when asking causal questions such as "why is N2O rising?" or "what happens if I cut… 24 arXiv — NLP / Computation & Language research 7d ago Mean-Field Dynamics of Chain-of-Thought Reasoning in Large Language Models arXiv:2608.05152v1 Announce Type: new Abstract: Large language models (LLMs) with chain-of-thought reasoning have been widely applied in recent years, and theoretical explanations of their behavior may help deepen our understanding and guide model optimization. In this study, we… 24 arXiv — NLP / Computation & Language research 7d ago Constraint-First Reasoning: A Training-Free Protocol for Exploiting Answer-Space Constraints in Mathematical Problem Solving arXiv:2608.05254v1 Announce Type: new Abstract: Large language models can derive a plausible mathematical object yet still violate explicit requirements--for example, by omitting a modular reduction, returning a non-integer, or using the wrong encoded answer form. We introduce… 8 arXiv — NLP / Computation & Language research 7d ago Evidence Lock Before Commitment: A Frozen Interface Degrades LLM-as-Judge Evaluation arXiv:2608.05353v1 Announce Type: new Abstract: LLM judges are often asked to extract criteria and evidence before choosing between candidate answers. This workflow assumes that the intermediate record preserves the information needed for a later verdict. For reasoning-capable… 19 arXiv — NLP / Computation & Language research 7d ago SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries arXiv:2608.05604v1 Announce Type: new Abstract: Large Language Models (LLMs) increasingly act as agents whose procedural knowledge is stored in reusable skill packages and loaded at inference time. As skill libraries grow, a central challenge is to expose the smallest sufficient… 25 arXiv — NLP / Computation & Language research 7d ago Answer First, Reason Later: Commitment Order in Diffusion LLMs arXiv:2608.05687v1 Announce Type: new Abstract: Masked diffusion language models (dLLMs) can commit tokens in any order -- a freedom marketed as their core advantage over autoregressive decoding. We show that on reasoning tasks this freedom is instead the axis of failure.… 7 arXiv — NLP / Computation & Language research 7d ago On-Policy Delta Distillation for Multilingual Math Reasoning arXiv:2608.05802v1 Announce Type: new Abstract: On-Policy Distillation (OPD) is emerging as a promising alternative to reinforcement learning for LLM post-training, yet its effectiveness in multilingual settings remains underexplored. We study OPD and its advanced variant,… 22 arXiv — NLP / Computation & Language research 7d ago Hierarchical Latent Prediction for Language Models arXiv:2608.05806v1 Announce Type: new Abstract: While standard Next-Token Prediction (NTP) lays the foundation of language model pre- training, its teacher-forced training paradigm may not be optimal for long-horizon reasoning and planning. Recent works such as Multi-Token… 24 arXiv — NLP / Computation & Language research 7d ago Enhancing Social Intelligence in LLMs with Hierarchical Reasoning and Utterance-Level Goal Rewarding arXiv:2608.05832v1 Announce Type: new Abstract: Large language models (LLMs) excel in structured tasks but struggle with dynamic social interactions, where success requires long-term goal coordination and rapid adaptation. Current methods often apply uniform goal-based rewards… 36 arXiv — NLP / Computation & Language research 7d ago NeSy-RAG: Neuro-Symbolic RAG for Explainable Question Answering arXiv:2608.06292v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves question answering by grounding large language models (LLMs) in external knowledge such as text corpora. However, its reasoning process remains largely opaque: intermediate reasoning… 9 arXiv — NLP / Computation & Language research 7d ago RP-OPSD: Reasoning-Pivot-Guided On-Policy Self-Distillation for Multilingual Reasoning Transfer arXiv:2608.06347v1 Announce Type: new Abstract: Multilingual reasoning transfer is crucial for extending reasoning capabilities of large language models (LLMs) beyond high-resource languages. On-policy self-distillation (OPSD) and its variants have emerged as a promising… 32 arXiv — NLP / Computation & Language research 7d ago Woodpecker Distillation: Weak Models Diagnose Reasoning Bugs in Strong Models arXiv:2608.05168v1 Announce Type: cross Abstract: Large language models often fail on reasoning tasks despite possessing the capability to solve them. We argue that many such failures arise from localized reasoning bugs in intermediate steps rather than from global incompetence.… 38 arXiv — NLP / Computation & Language research 7d ago Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning arXiv:2608.05643v1 Announce Type: cross Abstract: Test-time scaling improves LLM reasoning by using additional inference compute, but wider sampling alone can suffer from diminishing returns: new rollouts often repeat existing answer patterns instead of adding useful reasoning… 35 arXiv — NLP / Computation & Language research 7d ago Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts arXiv:2608.06123v1 Announce Type: cross Abstract: Measuring political bias in large language models (LLMs) remains challenging as it can manifest through subtle differences in framing, argumentation, and legal reasoning that are difficult to capture with a single metric. In this… 8 Hugging Face Daily Papers research 7d ago SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding Abstract Understanding 3D scenes is fundamental to embodied intelligence, requiring joint reasoning over heterogeneous information from multiple modalities, including visual and geometric cues. However, the relevance of these modalities often varies across queries. Existing… 28 Hugging Face Daily Papers research 7d ago On-Policy Delta Distillation for Multilingual Math Reasoning Abstract On-Policy Distillation (OPD) is emerging as a promising alternative to reinforcement learning for LLM post-training, yet its effectiveness in multilingual settings remains underexplored. We study OPD and its advanced variant, On-Policy Delta Distillation (OPD^2), for… 18 Hugging Face Daily Papers research 7d ago Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Abstract Unified multimodal retrieval aims to identify candidates that satisfy complex user intent expressed through heterogeneous inputs. Although Large Vision-Language Model (LVLM)-based retrievers are efficient and scalable, directly encoding raw multimodal inputs often… 14 Hugging Face Daily Papers research 7d ago ChronoVision: Temporal Reasoning via Latent State Reconstruction Abstract Multimodal large language models excel at passive perception but struggle with complex visual cognitive tasks requiring multi-step temporal reasoning. This degradation largely stems from the inherent ambiguity of language-based reasoning, which often fails to accurately… 15 r/LocalLLaMA community 7d ago New model release: Ling-3.0-tiny: 7.9B total parameters, with only 1.3B active per token- free for a week A native hybrid reasoning model built for real-world tasks, math, instruction following, and resource-sensitive deployment.   submitted by   /u/niacolhealth [link]   [comments] 8 Hugging Face Daily Papers research 8d ago OPD-V: Visual On-Policy Self-Distillation with Modality Balance Abstract On-Policy Self-Distillation (OPSD) has become a standard post-training approach for improving visual reasoning in multimodal large language models (MLLMs). Existing methods draw privileged information from diverse input sources to guide self-distillation. Yet these… 22 Hugging Face Daily Papers research 8d ago ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation Abstract Text-to-image (T2I) models can produce visually compelling images, yet they remain limited on open-world tasks that require complex semantic understanding, multi-step reasoning, and the integration of external world knowledge. Existing efforts introduce agent… 36 arXiv — Machine Learning research 8d ago Elbow-Based MoE Routing: A Training-Free Inference Time Plugin for Expert Selection arXiv:2608.04401v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models enable model scaling while maintaining low inference-time compute by activating only a subset of experts per token. However, conventional routing relies on a fixed top-k selection, forcing the model… 4 arXiv — Machine Learning research 8d ago SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery arXiv:2608.04930v1 Announce Type: new Abstract: Bayesian causal discovery seeks to determine the posterior distribution of causal theories, which are interpreted as directed acyclic graphs (DAGs) that explain the observed data. The resulting posterior allows systematic reasoning… 10 arXiv — Machine Learning research 8d ago SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning Rollouts arXiv:2608.04962v1 Announce Type: new Abstract: Reinforcement learning (RL) post-training improves the reasoning capabilities of large language models, but autoregressive rollout generation remains a major efficiency bottleneck. Speculative decoding can accelerate generation,… 22 arXiv — NLP / Computation & Language research 8d ago Mind the Cap: Output-Budget Regimes Change the Measured Multilingual Reasoning Gap arXiv:2608.04160v1 Announce Type: new Abstract: Multilingual evaluations report accuracy at a single output-token cap, but languages need different numbers of tokens to express the same content, so the cap is a hidden experimental variable. We test whether the… 34 arXiv — NLP / Computation & Language research 8d ago Towards End-to-End Multilingual Metaphor Processing: Integrating Detection, Translation, and Evaluation arXiv:2608.04260v1 Announce Type: new Abstract: Metaphorical language remains a major challenge for multilingual natural language processing because successful interpretation and translation require reasoning beyond literal lexical meaning. Existing research has largely… 14 Page 3 of 10 · 500 articles ← Newer Older →
